One of the central goals of algal biotechnology is to replace fossil fuels with autotrophic production of organic matter. Hence, numerous studies are currently focusing on improving the efficiency of algal biotechnology approaches. Based on a multidimensional analysis of the growing conditions, the resulting data allows the estimation of the energetic and economic parameters of the process control. In this paper, we present such an approach using the green alga Chlamydomonas reinhardtii for biotechnological glycolate production. Glycolate can then be used as a chemical feedstock for a variety of downstream processes. This work evaluates the effects of different cultivation conditions and reactor architectures, aiming to increase carbon allocation towards the product glycolate. Under optimised conditions, up to 7.5 g glycolate per g biomass accumulated in the medium, which demonstrates the high product yield that can be achieved with this approach.

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